{
  "workflow": {
    "id": 7275,
    "name": "Convert radiology images to patient-friendly reports with GPT-4 Vision & PDF email",
    "views": 556,
    "recentViews": 0,
    "totalViews": 556,
    "createdAt": "2025-08-12T08:42:18.579Z",
    "description": "This automated n8n workflow transforms uploaded radiology images into professional, patient-friendly PDF reports. It uses AI-powered image analysis to interpret medical scans, simplify technical terms, and produce clear explanations. The reports are formatted, converted to PDF, stored in a database, and sent directly to patients via email, ensuring both accuracy and accessibility.\n\n## 🏥 **Workflow Overview:**\n\n**Simple Process Flow:**\n1. **Upload Image** → 2. **AI Analysis** → 3. **Generate Report** → 4. **Send to Patient**\n\n## 🔧 **How It Works:**\n\n1. **Webhook Trigger** - Receives image uploads via POST request\n2. **Extract Image Data** - Processes patient info and image data\n3. **AI Image Analysis** - Uses GPT-4 Vision to analyze the radiology image\n4. **Process Analysis** - Structures the AI response into readable sections\n5. **Generate PDF Report** - Creates a beautiful HTML report\n6. **Convert to PDF** - Converts HTML to downloadable PDF\n7. **Save to Database** - Logs all reports in Google Sheets\n8. **Email Patient** - Sends the report via email\n9. **Return Response** - Confirms successful processing\n\n## 📊 **Key Features:**\n\n- **AI-Powered Analysis** using GPT-4 Vision\n- **Patient-Friendly Language** (no medical jargon)\n- **Professional PDF Reports** with clear sections\n- **Email Delivery** with report attachment\n- **Database Logging** for record keeping\n- **Simple Webhook Interface** for easy integration\n\n## 🚀 **Usage Example:**\n\nSend POST request to webhook with:\n```json\n{\n  \"patient_name\": \"John Smith\",\n  \"patient_id\": \"P12345\",\n  \"scan_type\": \"X-Ray\",\n  \"body_part\": \"Chest\",\n  \"image_url\": \"https://example.com/xray.jpg\",\n  \"doctor_name\": \"Dr. Johnson\",\n  \"patient_email\": \"john@email.com\"\n}\n```\n\n## ⚙️ **Required Setup:**\n\n1. **OpenAI API** - For GPT-4 Vision image analysis\n2. **PDF Conversion Service** - HTML to PDF converter\n3. **Gmail Account** - For sending reports\n4. **Google Sheets** - For logging reports\n5. **Replace** `YOUR_REPORTS_SHEET_ID` with your actual sheet ID\n\nWant a tailored workflow for your business? Our experts can craft it quickly [Contact our team](https://www.oneclickitsolution.com/contact-us/)\n\n",
    "workflow": {
      "id": "8DYI99J1q8APXjWY",
      "meta": {
        "instanceId": "dd69efaf8212c74ad206700d104739d3329588a6f3f8381a46a481f34c9cc281",
        "templateCredsSetupCompleted": true
      },
      "name": "Radiology Image to Detailed Report Converter",
      "tags": [],
      "nodes": [
        {
          "id": "89d05f4e-32c8-4ce2-aabb-26068052a70b",
          "name": "Upload Image Trigger",
          "type": "n8n-nodes-base.webhook",
          "position": [
            180,
            -120
          ],
          "webhookId": "radiology-upload-webhook",
          "parameters": {
            "path": "radiology-upload",
            "options": {},
            "httpMethod": "POST"
          },
          "typeVersion": 2
        },
        {
          "id": "395b8ea6-f7aa-4d47-a73c-22ab891674ec",
          "name": "Extract Image Data",
          "type": "n8n-nodes-base.code",
          "position": [
            400,
            -120
          ],
          "parameters": {
            "jsCode": "// Extract image and patient data from webhook\nconst data = $input.first().json;\n\nreturn [{\n  json: {\n    patient_name: data.patient_name || 'Patient',\n    patient_id: data.patient_id || 'N/A',\n    scan_type: data.scan_type || 'X-Ray',\n    body_part: data.body_part || 'Chest',\n    image_url: data.image_url,\n    image_base64: data.image_base64,\n    doctor_name: data.doctor_name || 'Dr. Smith',\n    scan_date: data.scan_date || new Date().toISOString().split('T')[0],\n    urgency: data.urgency || 'routine'\n  }\n}];"
          },
          "typeVersion": 2
        },
        {
          "id": "090ab8d4-4e1c-4c23-9fe8-f6c74b850a8a",
          "name": "Analyze Radiology Image with AI",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            620,
            -120
          ],
          "parameters": {
            "url": "https://api.openai.com/v1/chat/completions",
            "method": "POST",
            "options": {},
            "jsonBody": "={\n  \"model\": \"gpt-4-vision-preview\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a radiology expert who explains medical scans in simple, patient-friendly language. Analyze the radiology image and provide: 1) What the scan shows in simple terms 2) Any notable findings 3) What this means for the patient 4) Next steps if any. Be reassuring and avoid medical jargon. Always recommend consulting with their doctor.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"Please analyze this {{ $json.scan_type }} scan of the {{ $json.body_part }} and explain the findings in patient-friendly terms.\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"{{ $json.image_base64 ? 'data:image/jpeg;base64,' + $json.image_base64 : $json.image_url }}\"\n          }\n        }\n      ]\n    }\n  ],\n  \"max_tokens\": 1000,\n  \"temperature\": 0.3\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer {{ $credentials.openaiApi.apiKey }}"
                },
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "47095b28-484a-47ce-b450-6dd0d719d989",
          "name": "Process AI Analysis",
          "type": "n8n-nodes-base.code",
          "position": [
            840,
            -120
          ],
          "parameters": {
            "jsCode": "// Process OpenAI response and structure the report data\nconst aiResponse = $input.first().json;\nconst patientData = $('Extract Image Data').first().json;\n\nconst aiAnalysis = aiResponse.choices[0].message.content;\n\n// Structure the analysis into sections\nconst sections = aiAnalysis.split('\\n\\n');\nlet findings = '';\nlet explanation = '';\nlet nextSteps = '';\n\n// Try to parse the AI response into structured sections\nsections.forEach(section => {\n  if (section.toLowerCase().includes('findings') || section.toLowerCase().includes('shows')) {\n    findings += section + ' ';\n  } else if (section.toLowerCase().includes('means') || section.toLowerCase().includes('indicates')) {\n    explanation += section + ' ';\n  } else if (section.toLowerCase().includes('next') || section.toLowerCase().includes('recommend')) {\n    nextSteps += section + ' ';\n  }\n});\n\n// If structured parsing didn't work well, use the full response\nif (!findings && !explanation) {\n  findings = aiAnalysis.substring(0, aiAnalysis.length / 2);\n  explanation = aiAnalysis.substring(aiAnalysis.length / 2);\n}\n\nreturn [{\n  json: {\n    ...patientData,\n    ai_analysis: aiAnalysis,\n    findings: findings.trim() || 'Analysis completed',\n    explanation: explanation.trim() || 'Please consult with your doctor for detailed explanation',\n    next_steps: nextSteps.trim() || 'Follow up with your healthcare provider as recommended',\n    report_generated: new Date().toISOString(),\n    confidence_note: 'This AI analysis is for informational purposes only. Always consult your doctor for medical advice.'\n  }\n}];"
          },
          "typeVersion": 2
        },
        {
          "id": "223aebb0-5f1e-40fb-bc00-ed70a4cba515",
          "name": "Generate PDF Report",
          "type": "n8n-nodes-base.code",
          "position": [
            1060,
            -120
          ],
          "parameters": {
            "jsCode": "// Generate HTML template for PDF conversion\nconst data = $input.first().json;\n\nconst htmlReport = `\n<!DOCTYPE html>\n<html>\n<head>\n    <style>\n        body { font-family: Arial, sans-serif; line-height: 1.6; color: #333; margin: 40px; }\n        .header { text-align: center; border-bottom: 3px solid #4CAF50; padding-bottom: 20px; margin-bottom: 30px; }\n        .logo { font-size: 24px; font-weight: bold; color: #4CAF50; }\n        .patient-info { background-color: #f8f9fa; padding: 20px; border-radius: 8px; margin: 20px 0; }\n        .section { margin: 25px 0; }\n        .section-title { font-size: 18px; font-weight: bold; color: #2c3e50; border-left: 4px solid #4CAF50; padding-left: 15px; margin-bottom: 15px; }\n        .findings { background-color: #e8f5e8; padding: 20px; border-radius: 8px; border-left: 4px solid #4CAF50; }\n        .explanation { background-color: #fff3e0; padding: 20px; border-radius: 8px; border-left: 4px solid #ff9800; }\n        .next-steps { background-color: #e3f2fd; padding: 20px; border-radius: 8px; border-left: 4px solid #2196f3; }\n        .disclaimer { background-color: #ffebee; padding: 15px; border-radius: 8px; font-size: 14px; border: 1px solid #f44336; margin-top: 30px; }\n        .footer { text-align: center; margin-top: 40px; font-size: 12px; color: #666; }\n        .date { color: #666; font-size: 14px; }\n    </style>\n</head>\n<body>\n    <div class=\"header\">\n        <div class=\"logo\">🏥 Medical Imaging Report</div>\n        <h2>Patient-Friendly Radiology Report</h2>\n        <div class=\"date\">Generated: ${new Date(data.report_generated).toLocaleDateString()}</div>\n    </div>\n    \n    <div class=\"patient-info\">\n        <h3>👤 Patient Information</h3>\n        <p><strong>Patient Name:</strong> ${data.patient_name}</p>\n        <p><strong>Patient ID:</strong> ${data.patient_id}</p>\n        <p><strong>Scan Type:</strong> ${data.scan_type}</p>\n        <p><strong>Body Part:</strong> ${data.body_part}</p>\n        <p><strong>Scan Date:</strong> ${data.scan_date}</p>\n        <p><strong>Ordering Doctor:</strong> ${data.doctor_name}</p>\n    </div>\n    \n    <div class=\"section\">\n        <div class=\"section-title\">🔍 What We Found</div>\n        <div class=\"findings\">\n            <p>${data.findings}</p>\n        </div>\n    </div>\n    \n    <div class=\"section\">\n        <div class=\"section-title\">💡 What This Means</div>\n        <div class=\"explanation\">\n            <p>${data.explanation}</p>\n        </div>\n    </div>\n    \n    <div class=\"section\">\n        <div class=\"section-title\">📋 Next Steps</div>\n        <div class=\"next-steps\">\n            <p>${data.next_steps}</p>\n        </div>\n    </div>\n    \n    <div class=\"disclaimer\">\n        <h4>⚠️ Important Disclaimer</h4>\n        <p>${data.confidence_note}</p>\n        <p>This report is generated by AI technology to help you understand your scan results. It should not replace professional medical consultation. Please discuss these findings with your healthcare provider.</p>\n    </div>\n    \n    <div class=\"footer\">\n        <p>Report generated by AI-Powered Radiology Assistant</p>\n        <p>For medical questions, contact your healthcare provider</p>\n    </div>\n</body>\n</html>\n`;\n\nreturn [{\n  json: {\n    ...data,\n    html_report: htmlReport,\n    report_filename: `Radiology_Report_${data.patient_name.replace(/\\s+/g, '_')}_${data.scan_date}.pdf`\n  }\n}];"
          },
          "typeVersion": 2
        },
        {
          "id": "4deecdc3-3b5a-4987-a62d-43f7034431c2",
          "name": "Convert to PDF",
          "type": "n8n-nodes-base.httpRequest",
          "position": [
            1280,
            -120
          ],
          "parameters": {
            "url": "https://api.html-css-to-pdf.com/v1/generate",
            "method": "POST",
            "options": {},
            "jsonBody": "={\n  \"html\": \"{{ $json.html_report }}\",\n  \"options\": {\n    \"format\": \"A4\",\n    \"margin\": {\n      \"top\": \"20mm\",\n      \"right\": \"15mm\",\n      \"bottom\": \"20mm\",\n      \"left\": \"15mm\"\n    },\n    \"displayHeaderFooter\": false\n  }\n}",
            "sendBody": true,
            "sendHeaders": true,
            "specifyBody": "json",
            "headerParameters": {
              "parameters": [
                {
                  "name": "Authorization",
                  "value": "Bearer {{ $credentials.pdfApi.apiKey }}"
                },
                {
                  "name": "Content-Type",
                  "value": "application/json"
                }
              ]
            }
          },
          "typeVersion": 4.2
        },
        {
          "id": "581fef88-4096-4193-b71e-9893fd684d1f",
          "name": "Save Report to Database",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            1720,
            -120
          ],
          "parameters": {
            "columns": {
              "value": {
                "pdf_url": "={{ $json.download_url }}",
                "body_part": "={{ $('Generate PDF Report').first().json.body_part }}",
                "scan_date": "={{ $('Generate PDF Report').first().json.scan_date }}",
                "scan_type": "={{ $('Generate PDF Report').first().json.scan_type }}",
                "timestamp": "={{ $now.toISO() }}",
                "patient_id": "={{ $('Generate PDF Report').first().json.patient_id }}",
                "patient_name": "={{ $('Generate PDF Report').first().json.patient_name }}",
                "report_status": "Generated Successfully"
              },
              "schema": [
                {
                  "id": "timestamp",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Timestamp",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "patient_name",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Patient Name",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "patient_id",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Patient ID",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "scan_type",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Scan Type",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "body_part",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Body Part",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "scan_date",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Scan Date",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "report_status",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "Report Status",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                },
                {
                  "id": "pdf_url",
                  "type": "string",
                  "display": true,
                  "required": false,
                  "displayName": "PDF URL",
                  "defaultMatch": false,
                  "canBeUsedToMatch": true
                }
              ],
              "mappingMode": "defineBelow"
            },
            "options": {},
            "operation": "append",
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "Reports_Log",
              "cachedResultName": "Reports Log"
            },
            "documentId": {
              "__rl": true,
              "mode": "list",
              "value": "YOUR_REPORTS_SHEET_ID",
              "cachedResultName": "Radiology Reports"
            },
            "authentication": "serviceAccount"
          },
          "credentials": {
            "googleApi": {
              "id": "credential-id",
              "name": "googleApi Credential"
            }
          },
          "typeVersion": 4.6
        },
        {
          "id": "f2025595-5b43-48dd-a586-351054d7d6d3",
          "name": "Email Report to Patient",
          "type": "n8n-nodes-base.gmail",
          "position": [
            1940,
            -120
          ],
          "webhookId": "4a00c62f-eac2-46c6-9013-61a94e903084",
          "parameters": {
            "sendTo": "={{ $('Extract Image Data').first().json.patient_email || 'patient@example.com' }}",
            "message": "=<h2>Your Radiology Report is Ready! 🏥</h2><br><br>Dear {{ $('Generate PDF Report').first().json.patient_name }},<br><br>Your {{ $('Generate PDF Report').first().json.scan_type }} scan report is now available. This patient-friendly report explains your scan results in easy-to-understand language.<br><br><strong>Scan Details:</strong><br>• Type: {{ $('Generate PDF Report').first().json.scan_type }}<br>• Body Part: {{ $('Generate PDF Report').first().json.body_part }}<br>• Date: {{ $('Generate PDF Report').first().json.scan_date }}<br><br><strong>Key Findings:</strong><br>{{ $('Process AI Analysis').first().json.findings }}<br><br>📎 <strong>Your complete report is attached as a PDF.</strong><br><br>❗ <strong>Important:</strong> This AI-generated report is for informational purposes. Please discuss these results with {{ $('Generate PDF Report').first().json.doctor_name }} or your healthcare provider.<br><br>If you have any questions, please contact your healthcare provider.<br><br>Best regards,<br>Medical Imaging Department",
            "options": {},
            "subject": "🏥 Your Radiology Report is Ready - {{ $('Generate PDF Report').first().json.patient_name }}"
          },
          "credentials": {
            "gmailOAuth2": {
              "id": "credential-id",
              "name": "gmailOAuth2 Credential"
            }
          },
          "typeVersion": 2.1
        },
        {
          "id": "badb5a4d-2b43-47a9-b1c8-12db0f4e7a5b",
          "name": "Return Response",
          "type": "n8n-nodes-base.code",
          "position": [
            2160,
            -120
          ],
          "parameters": {
            "jsCode": "// Return success response with report details\nconst reportData = $('Generate PDF Report').first().json;\nconst pdfData = $('Convert to PDF').first().json;\n\nreturn [{\n  json: {\n    status: 'success',\n    message: 'Radiology report generated successfully',\n    patient_name: reportData.patient_name,\n    scan_type: reportData.scan_type,\n    body_part: reportData.body_part,\n    report_generated: reportData.report_generated,\n    pdf_url: pdfData.download_url,\n    findings_summary: reportData.findings.substring(0, 200) + '...',\n    next_steps: reportData.next_steps,\n    disclaimer: reportData.confidence_note\n  }\n}];"
          },
          "typeVersion": 2
        },
        {
          "id": "7b5c9eb3-37c2-43f8-a0f1-f95554b6c9ef",
          "name": "Workflow Overview",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            340,
            -600
          ],
          "parameters": {
            "width": 400,
            "height": 340,
            "content": "## 🏥 Radiology Image to Report Converter\n\n### Features:\n• AI-powered image analysis\n• Patient-friendly language\n• Professional PDF reports\n• Email delivery\n• Database logging\n• Webhook triggered\n\n### How to use:\nSend POST to webhook with image data"
          },
          "typeVersion": 1
        },
        {
          "id": "925f5199-dbac-427b-a896-228e864f524b",
          "name": "Required Setup",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1080,
            -540
          ],
          "parameters": {
            "color": 3,
            "width": 300,
            "height": 200,
            "content": "## ⚙️ Setup Required\n\n1. OpenAI API credentials (GPT-4 Vision)\n2. PDF conversion service\n3. Gmail account for sending\n4. Google Sheets for logging\n5. Update YOUR_REPORTS_SHEET_ID"
          },
          "typeVersion": 1
        },
        {
          "id": "e5159a65-1ba2-4bc0-99dc-d89cef310932",
          "name": "Wait For PDF",
          "type": "n8n-nodes-base.wait",
          "position": [
            1500,
            -120
          ],
          "webhookId": "25e9fc56-abe3-4dbc-9d2d-edcf098f8ecc",
          "parameters": {},
          "typeVersion": 1.1
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "307925d2-0fa2-459f-a60c-af7b0ae0bbb3",
      "connections": {
        "Wait For PDF": {
          "main": [
            [
              {
                "node": "Save Report to Database",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Convert to PDF": {
          "main": [
            [
              {
                "node": "Wait For PDF",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Extract Image Data": {
          "main": [
            [
              {
                "node": "Analyze Radiology Image with AI",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Generate PDF Report": {
          "main": [
            [
              {
                "node": "Convert to PDF",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Process AI Analysis": {
          "main": [
            [
              {
                "node": "Generate PDF Report",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Upload Image Trigger": {
          "main": [
            [
              {
                "node": "Extract Image Data",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Email Report to Patient": {
          "main": [
            [
              {
                "node": "Return Response",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Save Report to Database": {
          "main": [
            [
              {
                "node": "Email Report to Patient",
                "type": "main",
                "index": 0
              }
            ]
          ]
        },
        "Analyze Radiology Image with AI": {
          "main": [
            [
              {
                "node": "Process AI Analysis",
                "type": "main",
                "index": 0
              }
            ]
          ]
        }
      }
    },
    "lastUpdatedBy": 29,
    "workflowInfo": {
      "nodeCount": 12,
      "nodeTypes": {
        "n8n-nodes-base.code": {
          "count": 4
        },
        "n8n-nodes-base.wait": {
          "count": 1
        },
        "n8n-nodes-base.gmail": {
          "count": 1
        },
        "n8n-nodes-base.webhook": {
          "count": 1
        },
        "n8n-nodes-base.stickyNote": {
          "count": 2
        },
        "n8n-nodes-base.httpRequest": {
          "count": 2
        },
        "n8n-nodes-base.googleSheets": {
          "count": 1
        }
      }
    },
    "status": "published",
    "user": {
      "name": "Oneclick AI Squad",
      "username": "oneclick-ai",
      "bio": "The AI Squad Initiative is a pioneering effort to build, automate and scale AI-powered workflows using n8n.io. Our mission is to help individuals and businesses integrate AI agents seamlessly into their daily operations  from automating tasks and enhancing productivity to creating innovative, intelligent solutions. We design modular, reusable AI workflow templates that empower creators, developers and teams to supercharge their automation with minimal effort and maximum impact.",
      "verified": true,
      "links": [
        "https://www.oneclickitsolution.com/"
      ],
      "avatar": "https://gravatar.com/avatar/848fca91367142f65f9e5c55d64e5c9952b160d7b060d103b52aa343c6bc7b3d?r=pg&d=retro&size=200"
    },
    "nodes": [
      {
        "id": 18,
        "icon": "file:googleSheets.svg",
        "name": "n8n-nodes-base.googleSheets",
        "codex": {
          "data": {
            "alias": [
              "CSV",
              "Sheet",
              "Spreadsheet",
              "GS"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/",
                  "icon": "❤️",
                  "label": "Love at first sight: Ricardo’s n8n journey"
                },
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
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            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "Webhook"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Webhook",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 356,
        "icon": "file:gmail.svg",
        "name": "n8n-nodes-base.gmail",
        "codex": {
          "data": {
            "alias": [
              "email",
              "human",
              "form",
              "wait",
              "hitl",
              "approval"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/",
                  "icon": "🧬",
                  "label": "Why business process automation with n8n can change your daily life"
                },
                {
                  "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/",
                  "icon": "🎫",
                  "label": "Supercharging your conference registration process with n8n"
                },
                {
                  "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/",
                  "icon": "store",
                  "label": "6 e-commerce workflows to power up your Shopify s"
                },
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/automate-google-apps-for-productivity/",
                  "icon": "💡",
                  "label": "15 Google apps you can combine and automate to increase productivity"
                },
                {
                  "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/",
                  "icon": " 🖥️",
                  "label": "Hey founders! Your business doesn't need you to operate"
                },
                {
                  "url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
                  "icon": "💪",
                  "label": "Using Automation to Boost Productivity in the Workplace"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Communication",
              "HITL"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "HITL": [
                "Human in the Loop"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Gmail"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Gmail",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 6,
            "name": "Communication"
          },
          {
            "id": 28,
            "name": "HITL"
          }
        ]
      },
      {
        "id": 514,
        "icon": "fa:pause-circle",
        "name": "n8n-nodes-base.wait",
        "codex": {
          "data": {
            "alias": [
              "pause",
              "sleep",
              "delay",
              "timeout"
            ],
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/how-to-get-started-with-crm-automation-and-no-code-workflow-ideas/",
                  "icon": "👥",
                  "label": "How to get started with CRM automation (with 3 no-code workflow ideas"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.wait/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Flow"
              ]
            }
          }
        },
        "group": "[\"organization\"]",
        "defaults": {
          "name": "Wait",
          "color": "#804050"
        },
        "iconData": {
          "icon": "pause-circle",
          "type": "icon"
        },
        "displayName": "Wait",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 834,
        "icon": "file:code.svg",
        "name": "n8n-nodes-base.code",
        "codex": {
          "data": {
            "alias": [
              "cpde",
              "Javascript",
              "JS",
              "Python",
              "Script",
              "Custom Code",
              "Function"
            ],
            "details": "The Code node allows you to execute JavaScript in your workflow.",
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/"
                }
              ]
            },
            "categories": [
              "Development",
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Code"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iNTEyIiBoZWlnaHQ9IjUxMiIgdmlld0JveD0iMCAwIDUxMiA1MTIiIGZpbGw9Im5vbmUiIHhtbG5zPSJodHRwOi8vd3d3LnczLm9yZy8yMDAwL3N2ZyI+CjxnIGNsaXAtcGF0aD0idXJsKCNjbGlwMF8xMTcxXzQ0MSkiPgo8cGF0aCBkPSJNMTcwLjI4MyA0OEgxOTYuNUMyMDMuMTI3IDQ4IDIwOC41IDQyLjYyNzQgMjA4LjUgMzZWMTJDMjA4LjUgNS4zNzI1OCAyMDMuMTI3IDAgMTk2LjUgMEgxNzAuMjgzQzEyNi4xIDAgOTAuMjgzIDM1LjgxNzIgOTAuMjgzIDgwVjE3NkM5MC4yODMgMjA2LjkyOCA2NS4yMTA5IDIzMiAzNC4yODMgMjMySDIzQzE2LjM3MjYgMjMyIDExIDIzNy4zNzIgMTEgMjQ0VjI2OEMxMSAyNzQuNjI3IDE2LjM3MjQgMjgwIDIyLjk5OTYgMjgwTDM0LjI4MyAyODBDNjUuMjEwOSAyODAgOTAuMjgzIDMwNS4wNzIgOTAuMjgzIDMzNlY0NDBDOTAuMjgzIDQ3OS43NjQgMTIyLjUxOCA1MTIgMTYyLjI4MyA1MTJIMTk2LjVDMjAzLjEyNyA1MTIgMjA4LjUgNTA2LjYyNyAyMDguNSA1MDBWNDc2QzIwOC41IDQ2OS4zNzMgMjAzLjEyNyA0NjQgMTk2LjUgNDY0SDE2Mi4yODNDMTQ5LjAyOCA0NjQgMTM4LjI4MyA0NTMuMjU1IDEzOC4yODMgNDQwVjMzNkMxMzguMjgzIDMwOS4wMjIgMTI4LjAxMSAyODQuNDQzIDExMS4xNjQgMjY1Ljk2MUMxMDYuMTA5IDI2MC40MTYgMTA2LjEwOSAyNTEuNTg0IDExMS4xNjQgMjQ2LjAzOUMxMjguMDExIDIyNy41NTcgMTM4LjI4MyAyMDIuOTc4IDEzOC4yODMgMTc2VjgwQzEzOC4yODMgNjIuMzI2OSAxNTIuNjEgNDggMTcwLjI4MyA0OFoiIGZpbGw9IiNGRjk5MjIiLz4KPHBhdGggZD0iTTMwNSAzNkMzMDUgNDIuNjI3NCAzMTAuMzczIDQ4IDMxNyA0OEgzNDIuOTc5QzM2MC42NTIgNDggMzc0Ljk3OCA2Mi4zMjY5IDM3NC45NzggODBWMTc2QzM3NC45NzggMjAyLjk3OCAzODUuMjUxIDIyNy41NTcgNDAyLjA5OCAyNDYuMDM5QzQwNy4xNTMgMjUxLjU4NCA0MDcuMTUzIDI2MC40MTYgNDAyLjA5OCAyNjUuOTYxQzM4NS4yNTEgMjg0LjQ0MyAzNzQuOTc4IDMwOS4wMjIgMzc0Ljk3OCAzMzZWNDMyQzM3NC45NzggNDQ5LjY3MyAzNjAuNjUyIDQ2NCAzNDIuOTc5IDQ2NEgzMTdDMzEwLjM3MyA0NjQgMzA1IDQ2OS4zNzMgMzA1IDQ3NlY1MDBDMzA1IDUwNi42MjcgMzEwLjM3MyA1MTIgMzE3IDUxMkgzNDIuOTc5QzM4Ny4xNjEgNTEyIDQyMi45NzggNDc2LjE4MyA0MjIuOTc4IDQzMlYzMzZDNDIyLjk3OCAzMDUuMDcyIDQ0OC4wNTEgMjgwIDQ3OC45NzkgMjgwSDQ5MEM0OTYuNjI3IDI4MCA1MDIgMjc0LjYyOCA1MDIgMjY4VjI0NEM1MDIgMjM3LjM3MyA0OTYuNjI4IDIzMiA0OTAgMjMyTDQ3OC45NzkgMjMyQzQ0OC4wNTEgMjMyIDQyMi45NzggMjA2LjkyOCA0MjIuOTc4IDE3NlY4MEM0MjIuOTc4IDM1LjgxNzIgMzg3LjE2MSAwIDM0Mi45NzkgMEgzMTdDMzEwLjM3MyAwIDMwNSA1LjM3MjU4IDMwNSAxMlYzNloiIGZpbGw9IiNGRjk5MjIiLz4KPC9nPgo8ZGVmcz4KPGNsaXBQYXRoIGlkPSJjbGlwMF8xMTcxXzQ0MSI+CjxyZWN0IHdpZHRoPSI1MTIiIGhlaWdodD0iNTEyIiBmaWxsPSJ3aGl0ZSIvPgo8L2NsaXBQYXRoPgo8L2RlZnM+Cjwvc3ZnPgo="
        },
        "displayName": "Code",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 5,
            "name": "Development"
          },
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 35,
        "name": "Document Extraction"
      },
      {
        "id": 51,
        "name": "Multimodal AI"
      }
    ],
    "image": []
  }
}